![]() ![]() Snowflake loader: Configure folder monitoring without a stage, while doing loading with a stage This is fixed in the 4.3.0 release, and now the loader will not enter this failure state if a batch contains multiple versions of the same schema. Invalid operation: cannot add column “CCCCCCC” of relation “XXXXXXX", already exists - SqlState: 0A000 Or following one depending on schema migration. This could result in an error message like (same error as in previous case): However, because of this bug, the loader was in danger of trying to perform table migrations twice. ![]() It is possible and completely allowed for a batch of events to contain multiple versions of the same schema, e.g. This bug could affect your pipeline if you load into Redshift with RDB Loader. Redshift loader: Fix migrations for batches with multiple versions of the same schema With this new 4.3.0 release, the inconsistent state is still reachable (due to Redshift limitations), but the loader is robust to recover from it. Invalid operation: cannot alter column “CCCCCCC” of relation “XXXXXXX", target column size should be different - SqlState: 0A000 If this ever happened, then RDB Loader could get stuck on successive loads with error messages like: If a table migration is immediately followed by a batch which cannot be loaded for any reason, then a table could be left in an inconsistent state where a migration was partially applied. Redshift loader: Fix to recover from failed migrations Once you upgrade to 4.3.0, RDB Loader will be prepared to correctly migrate your table in response to future field length changes. The bug is fixed in this new 4.3.0 release. If you think you have been affected by this bug, we suggest you check your entity tables and manually alter the table if needed: ALTER TABLE ALTER COLUMN TYPE VARCHAR() You might be affected by this bug if you have recently updated an Iglu schema by raising the max length of a field. Because of this bug, RDB Loader did not attempt to alter the column length it would instead attempt to load the newer events into the table without running the migrations. If you update an Iglu schema by raising the maxLength setting for a string field, then RDB Loader should respond by altering the table e.g. The bug was introduced in version 3.0.0 and does not affect older versions. Redshift loader: Fix to alter max length of text fields However, we discovered a number of edge cases where migrations did not work as expected. from version 1-0-0 to 1-0-1) then the loader automatically alters the target table to accommodate the newer events. Table migrations are an important feature of RDB Loader: if you update an Iglu schema (e.g. IF (SELECT EXISTS(SELECT * FROM pg_catalog.pg_table_defĪ few more failed attempts: CREATE OR REPLACE PROCEDURE alter_my_table()ĬASE WHEN COUNT(*) THEN 'warning: column exists already.This release brings some important bug fixes, especially around table migrations. These are some of my attempts: IF (SELECT EXISTS(SELECT * FROM pg_catalog.pg_table_def I am also a bit new to redshift, so I would appreciate a response! But I don't know how to ALTER the table to add or remove one. I am able to get a TRUE or FALSE for columns that I want to check. I have come across these posts in stackoverflow, however couldn't find a proper solution from them: I am trying to replicate a functionality from SQL Server into redshift where I have to ignore column if the column exists, otherwise add it into the table. ![]()
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